io.deephaven.engine.table.impl.updateby.rollingminmax.DoubleRollingMinMaxOperator Maven / Gradle / Ivy
Go to download
Show more of this group Show more artifacts with this name
Show all versions of deephaven-engine-table Show documentation
Show all versions of deephaven-engine-table Show documentation
Engine Table: Implementation and closely-coupled utilities
/*
* ---------------------------------------------------------------------------------------------------------------------
* AUTO-GENERATED CLASS - DO NOT EDIT MANUALLY - for any changes edit CharRollingMinMaxOperator and regenerate
* ---------------------------------------------------------------------------------------------------------------------
*/
package io.deephaven.engine.table.impl.updateby.rollingminmax;
import io.deephaven.base.ringbuffer.AggregatingDoubleRingBuffer;
import io.deephaven.base.verify.Assert;
import io.deephaven.chunk.Chunk;
import io.deephaven.chunk.DoubleChunk;
import io.deephaven.chunk.attributes.Values;
import io.deephaven.engine.table.impl.MatchPair;
import io.deephaven.engine.table.impl.updateby.UpdateByOperator;
import io.deephaven.engine.table.impl.updateby.internal.BaseDoubleUpdateByOperator;
import io.deephaven.engine.table.impl.util.RowRedirection;
import org.jetbrains.annotations.NotNull;
import org.jetbrains.annotations.Nullable;
import static io.deephaven.util.QueryConstants.*;
public class DoubleRollingMinMaxOperator extends BaseDoubleUpdateByOperator {
private final boolean isMax;
private static final int BUFFER_INITIAL_CAPACITY = 128;
// region extra-fields
// endregion extra-fields
protected class Context extends BaseDoubleUpdateByOperator.Context {
protected DoubleChunk extends Values> doubleInfluencerValuesChunk;
protected AggregatingDoubleRingBuffer aggMinMax;
protected boolean evaluationNeeded;
protected Context(final int affectedChunkSize, final int influencerChunkSize) {
super(affectedChunkSize);
if (isMax) {
aggMinMax = new AggregatingDoubleRingBuffer(BUFFER_INITIAL_CAPACITY, NULL_DOUBLE, (a, b) -> {
if (a == NULL_DOUBLE) {
return b;
} else if (b == NULL_DOUBLE) {
return a;
}
return (double)Math.max(a, b);
});
} else {
aggMinMax = new AggregatingDoubleRingBuffer(BUFFER_INITIAL_CAPACITY, Double.MAX_VALUE, (a, b) -> {
if (a == NULL_DOUBLE) {
return b;
} else if (b == NULL_DOUBLE) {
return a;
}
return (double)Math.min(a, b);
});
}
curVal = isMax ? NULL_DOUBLE : Double.MAX_VALUE;
evaluationNeeded = false;
}
@Override
public void close() {
super.close();
aggMinMax = null;
}
@Override
public void setValueChunks(@NotNull final Chunk extends Values>[] valueChunks) {
doubleInfluencerValuesChunk = valueChunks[0].asDoubleChunk();
}
@Override
public void push(int pos, int count) {
aggMinMax.ensureRemaining(count);
for (int ii = 0; ii < count; ii++) {
double val = doubleInfluencerValuesChunk.get(pos + ii);
aggMinMax.addUnsafe(val);
if (val == NULL_DOUBLE) {
nullCount++;
} else if (curVal == NULL_DOUBLE) {
curVal = val;
evaluationNeeded = false;
} else if (isMax && curVal < val) {
curVal = val;
// Can skip evaluation when we push a new extreme.
evaluationNeeded = false;
} else if (!isMax && curVal > val) {
curVal = val;
// Can skip evaluation when we push a new extreme.
evaluationNeeded = false;
}
}
}
@Override
public void pop(int count) {
Assert.geq(aggMinMax.size(), "doubleWindowValues.size()", count);
for (int ii = 0; ii < count; ii++) {
double val = aggMinMax.removeUnsafe();
if (val == NULL_DOUBLE) {
nullCount--;
} else {
// Only revaluate if we pop something equal to our current value. Otherwise we have perfect
// confidence that the min/max is still in the window.
if (curVal == val) {
evaluationNeeded = true;
}
}
}
}
@Override
public void writeToOutputChunk(int outIdx) {
if (aggMinMax.size() == nullCount) {
curVal = NULL_DOUBLE;
} else if (evaluationNeeded) {
curVal = aggMinMax.evaluate();
}
outputValues.set(outIdx, curVal);
evaluationNeeded = false;
}
@Override
public void reset() {
super.reset();
aggMinMax.clear();
curVal = isMax ? NULL_DOUBLE : Double.MAX_VALUE;
evaluationNeeded = false;
}
}
@NotNull
@Override
public UpdateByOperator.Context makeUpdateContext(final int affectedChunkSize, final int influencerChunkSize) {
return new Context(affectedChunkSize, influencerChunkSize);
}
public DoubleRollingMinMaxOperator(@NotNull final MatchPair pair,
@NotNull final String[] affectingColumns,
@Nullable final RowRedirection rowRedirection,
@Nullable final String timestampColumnName,
final long reverseWindowScaleUnits,
final long forwardWindowScaleUnits,
final boolean isMax
// region extra-constructor-args
// endregion extra-constructor-args
) {
super(pair, affectingColumns, rowRedirection, timestampColumnName, reverseWindowScaleUnits, forwardWindowScaleUnits, true);
this.isMax = isMax;
// region constructor
// endregion constructor
}
}
© 2015 - 2024 Weber Informatics LLC | Privacy Policy